ArticleBMC systems biology2015
Analyzing Th17 cell differentiation dynamics using a novel integrative modeling framework for time-course RNA sequencing data.
Article in BMC systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Regulatory dynamics of Th17 lymphocytes in oral squamous cell carcinoma: immune modulation and emerging immunotherapies.Immunologic research · 2025Review
- The intrinsic expression of NLRP3 in Th17 cells promotes their protumor activity and conversion into Tregs.Cellular & molecular immunology · 2025Article
- Curating models from BioModels: Developing a workflow for creating OMEX files.bioRxiv : the preprint server for biology · 2024Article
- Umbilical Cord Mesenchymal Stromal/Stem Cells and Their Interplay with Th-17 Cell Response Pathway.Cells · 2024Article
- Article
- Emergent dynamics of a three-node regulatory network explain phenotypic switching and heterogeneity: a case study of Th1/Th2/Th17 cell differentiation.Molecular biology of the cell · 2022Article
- Interplay between SMAD2 and STAT5A is a critical determinant of IL-17A/IL-17F differential expression.Molecular biomedicine · 2021Article
- A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development.PLoS computational biology · 2021Article
- Data-driven multiscale modeling reveals the role of metabolic coupling for the spatio-temporal growth dynamics of yeast colonies.BMC molecular and cell biology · 2019Article
- Review
- Data-driven mechanistic analysis method to reveal dynamically evolving regulatory networks.Bioinformatics (Oxford, England) · 2016Article
- Mathematics in modern immunology.Interface focus · 2016Review
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundThe differentiation of naive CD 4(+) helper T (Th) cells into effector Th17 cells is steered by extracellular cytokines that activate and control the lineage specific transcriptional program. While the inducing cytokine signals and core transcription factors driving the differentiation towards Th17 lineage are well known, detailed mechanistic interactions between the key components are poorly understood.
resultsWe develop an integrative modeling framework which combines RNA sequencing data with mathematical modeling and enables us to construct a mechanistic model for the core Th17 regulatory network in a data-driven manner.
conclusionsOur results show significant evidence, for instance, for inhibitory mechanisms between the transcription factors and reveal a previously unknown dependency between the dosage of the inducing cytokine TGF β and the expression of the master regulator of competing (induced) regulatory T cell lineage. Further, our experimental validation approves this dependency in Th17 polarizing conditions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.